Gordon H. Guyatt
guyattgh.bsky.social
Gordon H. Guyatt
@guyattgh.bsky.social

Promoting use of the best evidence and patient values and preferences to inform optimal clinical and health policy decisions.

Gordon Henry Guyatt is a Canadian physician who is a professor at McMaster University in Hamilton, Ontario. He is known for his leadership in evidence-based medicine, a term that first appeared in a single-author paper he published in 1991. Subsequently, a 1992 JAMA article led by Guyatt proved instrumental in bringing the concept of evidence-based medicine to the world's attention. Guyatt's concerns with the role of the medical system, social justice, and medical reform remain central issues that he promoted in tandem with his medical work. He was named to the Canadian Medical Hall of Fame in 2015. .. more

Economics 25%
Mathematics 24%

In this one minute tutorial, I explain the meaning and significance of a weak or conditional #GRADE recommendation.

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#grade | Gordon Guyatt
In this one minute tutorial, I explain the meaning and significance of a weak or conditional #GRADE recommendation. Leticia Kawano-Dourado, MD, PhD
www.linkedin.com

Anyone interested in determining the effect of a drug in a single patient by conducting a #RandomizedTrial in a that patient – an N of 1 trial – will find this step-by-step guide enormously useful.

www.cmaj.ca/content/139/...
A clinician's guide for conducting randomized trials in individual patients
In determining optimal treatment for a patient conventional trials of therapy are susceptible to bias. Large-scale randomized trials can provide only a partial guide and have not been or cannot be car...
www.cmaj.ca

Reposted by Lars G. Hemkens

Reposted by Lars G. Hemkens

Forming #EvidenceBased plans of #EBM care that respond to each patient’s situation demands #SharedDecisionMaking. JP Brito, Iris Hargraves, and Marleen Kunneman are doing leading work to advance the practice of making care fit using shared decision making.

ebm.bmj.com/content/28/4...
Shared decision-making as a method of care
Care happens in interaction between the patient and the clinician, in conversation where the patient and clinician uncover or develop a shared understanding of the problematic situation of the patient...
ebm.bmj.com

This video presents a answer to the question of how evidence-based medicine - #EBM - protects us against inflated, misleading claims of treatment effect. I’ll be posting a number of such snippets and you’ll enjoy my charming interlocutor,
@leticiakawano.bsky.social
www.linkedin.com/feed/update/...
#evidencbasedmedicine #ebm | Gordon Guyatt
This video presents a 16 second answer to the question of how #EvidencBasedMedicine - #EBM - protects us against inflated, misleading claims of treatment effect. I’ll be posting a number of such snipp...
www.linkedin.com

Reposted by Julio Mayol

Reposted by Thomas Agoritsas

15 minute #JAMA podcast in which I interview world authority @thomasagoritsas.bsky.social on how to Use a Patient Management #Recommendations: #ClinicalPracticeGuidelines and #DecisionAnalyses

edhub.ama-assn.org/jn-learning/...
edhub.ama-assn.org

Reposted by Julio Mayol

This #BMJ article demonstrates that plausible assumptions regarding outcomes of patients lost to follow-up could often change the interpretation of results of #RandomisedControlledTrials published in top medical journals.

pubmed.ncbi.nlm.nih.gov/22611167/
Potential impact on estimated treatment effects of information lost to follow-up in randomised controlled trials (LOST-IT): systematic review - PubMed
Plausible assumptions regarding outcomes of patients lost to follow-up could change the interpretation of results of randomised controlled trials published in top medical journals.
pubmed.ncbi.nlm.nih.gov

Are #RelativeRisks overwhelmingly similar across risk groups? And if so, can we personalize care by applying relative risk to individual patients’ risk profiles? This key #EBM study demonstrates that the answer to both questions is an unquestionable YES.
pubmed.ncbi.nlm.nih.gov/11914297/
Can we individualize the 'number needed to treat'? An empirical study of summary effect measures in meta-analyses - PubMed
The fixed effects OR, random effects OR and random effects RR appear to be reasonably constant across different baseline risks. Given the interpretational and arithmetic ease of RR, clinicians may wis...
pubmed.ncbi.nlm.nih.gov

A survey addresses #guidelines trustworthiness evolution 2010 to 2022. Glass half empty - modest improvement, long way to go; and half full - almost 20% high trustworthiness. Thousands published yearly, astute clinicians will find quality guidelines relevant to them
pubmed.ncbi.nlm.nih.gov/40889618/
Trustworthiness of treatment clinical practice guidelines has modestly improved since the introduction of Institute of Medicine standards: a systematic survey - PubMed
As assessed by the modified NEATS instrument, although trustworthiness of treatment guidelines has improved after the introduction of IOM standards, improvements proved modest and post-IOM guidelines ...
pubmed.ncbi.nlm.nih.gov

Studies being published checking whether #LLMs and other #generativeAI models provide good health advice. #Clinicians, #Researchers, #Reviewers, #Editors, #Publishers can check and optimize studies through the #CHART checklist, abstract checklist, and methodological diagram.
chartguideline.org
CHART - Chatbot Assessment Reporting Tool
CHART: A comprehensive reporting guideline for Chatbot Health Advice studies
chartguideline.org